Evidence map›Paper›PMID 39071050›Full record

ArticleNeurophotonics2024

Adjusting effective multiplicity (

Yuki Yamamoto, Wakana Kawai, Tatsuya Hayashi, Minako Uga, Yasushi Kyutoku, Ippeita Dan

Abstract read
In one paragraph

Article in Neurophotonics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yuki YamamotoChuo University, Applied Cognitive Neuroscience Laboratory, Faculty of Science and Engineering, Tokyo, Japan.
Wakana KawaiChuo University, Applied Cognitive Neuroscience Laboratory, Faculty of Science and Engineering, Tokyo, Japan.
Tatsuya HayashiChuo University, Applied Cognitive Neuroscience Laboratory, Faculty of Science and Engineering, Tokyo, Japan.
Minako UgaHealth Science University, Department of Welfare and Psychology, Faculty of Health Science, Yamanashi, Japan.
Yasushi KyutokuChuo University, Applied Cognitive Neuroscience Laboratory, Faculty of Science and Engineering, Tokyo, Japan.
Ippeita DanChuo University, Applied Cognitive Neuroscience Laboratory, Faculty of Science and Engineering, Tokyo, Japan.ORCID https://orcid.org/0000-0002-1779-9205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Significance: The advancement of multichannel functional near-infrared spectroscopy (fNIRS) has enabled measurements across a wide range of brain regions. This increase in multiplicity necessitates the control of family-wise errors in statistical hypothesis testing. To address this issue, the effective multiplicity ( Aim: We aimed to reevaluate the effectiveness of the Approach: In experiment 1, we used resampling simulations to explore the relationship between sample size and Results: Experiment 1 revealed that the Conclusions: The findings from these two experiments indicate the potential for the effective application of

Indexed as

effective multiplicity (Meff)family-wise errorfunctional near-infrared spectroscopymultiple comparisonsstatistical analysis

Identifiers

PMID39071050
PMCPMC11283272

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.